Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm

Patwari, Muhammed Anayet Ullah and Amin, A. K. M. Nurul and Alam, Md. Shah (2011) Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm. Advanced Materials Research, 264/65. pp. 1154-1159. ISSN 1022-6680

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Abstract

Titanium alloys are being widely used in the aerospace, biomedical and automotive industries because of their good strength-to-weight ratio and superior corrosion resistance. Surface roughness is one of the most important requirements in machining of Titanium alloys. This paper describes mathematically the effect of cutting parameters on Surface roughness in end milling of Ti6Al4V. The mathematical model for the surface roughness has been developed in terms of cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). Central composite design was employed in developing the surface roughness models in relation to primary cutting parameters. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The developed RSM is coupled as a fitness function with genetic algorithm to predict the optimum cutting conditions leading to the least surface roughness value. MATLAB 7.0 toolbox for GA is used to develop GA program. The predicted results are in good agreement with the experimental one and hence the model can be efficiently used to achieve the minimum surface roughness value.

Item Type:	Article (Journal)
Additional Information:	2872/17021
Uncontrolled Keywords:	Surface Roughness, Genetic algorithm, RSM, end milling
Subjects:	T Technology > TS Manufactures
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr. A.K.M. Nurul Amin
Date Deposited:	26 Jan 2012 16:52
Last Modified:	07 Mar 2012 11:03
URI:	http://irep.iium.edu.my/id/eprint/17021

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